mlfoundations-dev/math_stratos_scale_verified_with_hf

该数据集包含了问题、推理过程、解决方案、正确性判断、评估理由、提取的答案、黄金标准答案、验证器标签和错误信息等字段。数据集主要用于训练机器学习模型，以便模型能够学习如何从给定的问题和推理过程中提取答案，并判断答案的正确性。训练集包含了超过14万个示例，数据集的总大小为3.74GB。

The dataset includes fields such as problem, reasoning, solution, correctness, evaluation rationale, extracted answer, golden standard answer, verifier label, and error information. It is primarily used for training machine learning models to learn how to extract answers from given problems and reasoning processes, and to judge the correctness of the answers. The training set contains over 140,000 examples, and the total size of the dataset is 3.74GB.